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Source channel @olddriverGDstudy · Post #9 · Mar 17

#语录 凡哥语录 也许大家会觉得这里规矩多,甚至去年我还听说别人评价我们这是集中营,可是到头来,所谓“自由”的那些群如今一个个都凉了,只有我们健康持续的发展着,大队就是个平台,平台是属于大家的,我们就是帮你们维持好正常运营,别的真没多想,其实你们扪心自问,应该也有个中肯的评价吧 你这不够推拉,不能这么舔,你要说,我考虑一下,看你表现,下次给你准备点小惊喜 找女朋友炮友什么的,不能一味舔狗,要调动妹子的注意力和心情,不是说要pua人家,但是人pua不也是强调以我为主,讲究拉扯么,这个也一样的呀,当然啦,面对🐔还是给钱实在点,别整那些有的没的

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@githubtrending · Post #14863 · 06/24/2025, 01:30 PM

#other#automl#chatgpt#data_analysis#data_science#data_visualization#data_visualizations#deep_learning#gpt#gpt_3#jax#keras#machine_learning#ml#nlp#python#pytorch#scikit_learn#tensorflow#transformer This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently. https://github.com/ml-tooling/best-of-ml-python